17 projects for "libamd.so.1" with 2 filters applied:

  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

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  • 1
    CausalImpact

    CausalImpact

    An R package for causal inference in time series

    ...Its goal is to estimate the effect of an intervention (e.g. a marketing campaign, policy change) on a time series outcome by predicting what would have happened in a counterfactual “no intervention” world. The package requires as input a response time series plus one or more control (covariate) time series that are assumed unaffected by the intervention, and it divides the time horizon into “pre-intervention” and “post-intervention” periods. It uses Bayesian modeling to fit a structural time series to the pre-period and extrapolate a counterfactual prediction for the post period, then compares observed vs predicted to infer the causal effect. ...
    Downloads: 2 This Week
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  • 2
    stkpp

    stkpp

    C++ Statistical ToolKit

    ...At a convenience, we propose the source packages on sourceforge. The library offers a dense set of (mostly) template classes in C++ and is suitable for projects ranging from small one-off projects to complete data mining application suites.
    Downloads: 0 This Week
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  • 3
    Freegressi est un logiciel pour tracer des courbes de tendances à partir de séries de données.
    Downloads: 0 This Week
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  • 4

    Kontinuum Calculator

    Calculate various aspects of the Kontinuum RPG system.

    Kontinuum is a calculator program that enables the user to calculate all probabilistic aspects of the Kontinuum RPG system, especially the dice rules.
    Downloads: 0 This Week
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  • $300 Free Credits for Your Google Cloud Projects Icon
    $300 Free Credits for Your Google Cloud Projects

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  • 5

    hbgm

    'Hierarchical Bond Graph Modelling of Biochemical Networks'

    Scripts and supplementary data for the manuscript 'Hierarchical Bond Graph Modelling of Biochemical Networks': Peter J. Gawthrop(1), Joseph Cursons(1,2), and Edmund J. Crampin(1-4). (1) Systems Biology Laboratory, Melbourne School of Engineering, University of Melbourne, Victoria 3010, Australia. (2) ARC Centre of Excellence in Convergent Bio-Nano Science, Melbourne School of Engineering, University of Melbourne, Victoria 3010, Australia. (3) Department of Mathematics and Statistics, University of Melbourne, Victoria 3010, Australia...
    Downloads: 0 This Week
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  • 6

    Immutable Sparse Wave Trees (WaveTree)

    Realtime bigdata tool for bit strings up to 2^63 based on AVL forest

    ...Example: instead of building a class to hold a header and then data, represent all of that as Bits, subranges of them, and ints for sizes of its parts. Expansion ability for other kinds of compression, since Bits is a Java interface. Main functions on bits are substring, concat, number of 0 or 1 bits, and number of bits (size). All those operations can be done millions of times per second regardless of size because the AVL forest reuses existing branches recursively. Theres a scalar (originally for copy/pasting subranges of sounds) and a bit Java package. Sparse n dimensional matrix.
    Downloads: 0 This Week
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  • 7

    Tail Probability Calculator

    Tail probability calculator for continuous random variable

    A suite of Matlab functions that calculate the tail probability / cdf / pdf / quantile of linear combination of random variables in one of the following classes: (1) symmetric random variables with support on the real axis (normal, Student's t, uniform and triangular); (2) random variables with support on the positive real axis (chi-squared and log-Lambert W x chi-squared distributions; inverse gamma distribution is temporarily disabled due to numerical issues).
    Downloads: 0 This Week
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  • 8
    EnvStats

    EnvStats

    An R Package for Environmental Statistics

    ...The EnvStats package, along with the R software environment, provides comprehensive and powerful software for environmental data analysis. EnvStats brings the major environmental statistical methods found in the literature and regulatory guidance documents into one statistical package, along with an extensive hypertext help system that explains what these methods do, how to use these methods, and where to find them in the environmental statistics literature. Also included are numerous built-in data sets from regulatory guidance documents and the environmental statistics literature. EnvStats combined with other R packages (e.g., for spatial analysis) provides the environmental scientist, statistician, researcher, and technician with tools to “get the job done!”
    Downloads: 0 This Week
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  • 9
    Myrtle

    Myrtle

    A simple programmable spreadsheet for learning statistics.

    Myrtle is a simple programmable spreadsheet and statistical analysis software specifically designed for learning statistics. It provides the standard spreadsheet functionality one would expect like multiple tabbed sheets, relative and absolute row and column referencing in formulas, and a large catalog of built-in functions. Functions specific to logic and computer science, mathematics, probability, and statistics are available. Student's can easily create, customize, and update plots and graphical summaries of their analyses. ...
    Downloads: 0 This Week
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    Ship Agents Faster

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    Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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  • 10

    abc-sde

    approximate Bayesian computation for stochastic differential equations

    ...It performs approximate Bayesian computation for stochastic models having latent dynamics defined by stochastic differential equations (SDEs) and not limited to the "state-space" modelling framework. Both one- and multi-dimensional SDE systems are supported and partially observed systems are easily accommodated. Variance components for the "measurement error" affecting the data/observations can be estimated. A 50-pages Reference Manual is provided with two case-studies implemented and discussed. The methodology is based on the research article available at http://arxiv.org/abs/1204.5459 Author's research page is http://www.maths.lth.se/matstat/staff/umberto/
    Downloads: 0 This Week
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  • 11
    statistics software
    Downloads: 0 This Week
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  • 12
    Stand-alone software tool for the interactive CE analysis of microarray data. The software is a user-friendly and allows on-the-fly study of CE
    Downloads: 0 This Week
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  • 13
    1. Create an object-oriented python script that can represent mathematical concepts and their properties. 2. Represent all numeric values exactly. 3. Provide a variety of formats to export or embed representations of the mathematical concepts.
    Downloads: 0 This Week
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  • 14
    The EconoMind is a utility that simulates the economy of a city, state, country, or planet at a specific level of technological development. It runs behind the scenes and provides supply, demand, and other information for games and other projects.
    Downloads: 0 This Week
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  • 15
    OpenPSA is open source software for Probabilistic Risk Assessment . The project is under development. If you are interested to support this project, please contact the team
    Downloads: 0 This Week
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  • 16
    Calculates how much time and money you need to win in the lottery. It uses multiple gthreads and gtk2 to sort 1 to 50 numbers until the user wins. Asking for the cost and time beetwin games, it calculates if you or your grandchildren will be rich.
    Downloads: 0 This Week
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  • 17
    ...Actually the parameter estimation methods were already far from the state-of-art when the project began in 2007 (!). The considered implemented parametric and non-parametric Monte Carlo likelihood methods were chosen for their ability to treat both one-dimensional and multivariate SDE systems, although the quality of the inferential results can't match those obtained using more advanced techniques. Nevertheless the toolbox capabilities to simulate numerical solutions of SDE systems are still valid and can serve as a useful starting point to those willing to simulate stochastic dynamical models easily.
    Downloads: 3 This Week
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